Reference data.
Built to carry
the science forward.
A curated foundation for MicroCT segmentation in preclinical toxicology research.
Discuss your evidence needs ↗
A reference-data bottleneck
Manual segmentation made it difficult to build consistent data for MicroCT model development.
Curate. Annotate. Evaluate.
Gesund supported curated MicroCT data, expert annotation and segmentation-model validation workflows.
A reusable foundation
A reference dataset to support subsequent model development, with reproducibility built into the workflow.
“It wasn’t just annotation — it was the foundation for reproducibility and regulatory alignment.”
Rajath Soans
Associate Director, Image Data Analytics, Merck · role at time of published case
Reproducibility starts
with the reference.
The same coordination challenge appears across AI programs: data, expert judgments and evaluation need to remain connected as the work scales.
For Merck’s preclinical research, a curated reference dataset gave the team a foundation for subsequent segmentation-model development.
Explore the platform behind the work ↗What does your AI
need to prove?
Start with your product, timeline and clinical evidence question.